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gage-rr-analyzer

gage-rr-analyzer

Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment

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Documentation de la Skill

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name: gage-rr-analyzer description: Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment allowed-tools:

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  • Edit metadata: specialization: operations domain: business category: six-sigma-spc graph: domains: [domain:operations] skillAreas: [skill-area:statistical-analysis, skill-area:data-analytics, skill-area:business-analysis] workflows: [workflow:vendor-onboarding, workflow:vendor-evaluation] roles: [role:operations-analyst, role:data-analyst, role:business-analyst]

Gage R&R Analyzer

Overview

The Gage R&R Analyzer skill provides comprehensive capabilities for conducting Measurement System Analysis (MSA) studies. It supports Gage R&R study design, ANOVA-based variance decomposition, and measurement system adequacy assessment following AIAG guidelines.

Capabilities

  • Gage R&R study design
  • ANOVA variance decomposition
  • Repeatability analysis
  • Reproducibility analysis
  • %GRR calculation
  • Number of distinct categories
  • Measurement bias and linearity
  • Acceptance criteria evaluation

Used By Processes

  • SIX-004: Measurement System Analysis
  • SIX-002: Statistical Process Control Implementation
  • QMS-003: Quality Audit Management

Tools and Libraries

  • Minitab API
  • Statistical analysis packages
  • Calibration management systems
  • Data collection tools

Usage

skill: gage-rr-analyzer
inputs:
  study_type: "crossed"  # crossed | nested
  operators: 3
  parts: 10
  trials: 3
  measurements:
    - operator: "A"
      part: 1
      trial: 1
      value: 10.2
    # ... additional measurements
  tolerance: 1.6  # USL - LSL
outputs:
  - variance_components
  - percent_grr
  - percent_tolerance
  - ndc
  - acceptance_decision
  - detailed_report

Variance Components

ComponentSourceDescription
Part-to-PartProcessVariation between parts
RepeatabilityEquipmentVariation from repeated measurements
ReproducibilityOperatorVariation between operators
Part x OperatorInteractionOperator effect varies by part

Acceptance Criteria (AIAG Guidelines)

%GRRDecision
< 10%Acceptable
10% - 30%Marginal, may be acceptable
> 30%Unacceptable

Number of Distinct Categories (ndc)

ndc = 1.41 * (Part Variation / GRR)

Interpretation:
- ndc >= 5: Adequate measurement system
- ndc < 5: Measurement system needs improvement

Study Design Requirements

Study TypeMinimum PartsMinimum OperatorsMinimum Trials
Standard1032-3
Attribute3033
DestructiveUse nested design31

Integration Points

  • Calibration management systems
  • Quality Management Systems
  • Statistical analysis software
  • Training management systems
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